Relative apparent synapomorphy analysis

Relative apparent synapomorphy analysis, or RASA, is a method that aims to determine whether a given character is shared between taxa due to shared ancestry or due to convergence. A synapomorphy is a shared trait found among two or more taxa and their most recent common ancestor, whose ancestor in turn does not possess the trait. RASA assigns a score to the character based on its potential to be informative.[1]

Limitations

The method performs poorly when used to select an outgroup taxon, to quantify the amount of phylogenetic signal present, or to identify taxa that may be prone to long branch attraction.[2]

gollark: It's probably so expensive because:- basically nobody else is selling similar things so they can pricegouge to death- fewer economies of scale- they're going for really really FOSS stuff, so they have fewer options for components- they will have to develop a lot of the software from scratchhttps://puri.sm/products/librem-5/ @abnormal
gollark: There is also the librem one, but this is cheaper.
gollark: (and that's mitigated by the ability to root android devices)
gollark: - less carrier meddling (forgot about that)
gollark: iPhones get you:- actually reliable updates (somewhat mitigated by custom ROMs)- shininess- probably higher performance on some models versus some models of non-iPhones

References

  1. Lyons-Weiler, J; Hoelzer, GA; Tausch, RJ (1996). "Relative apparent synapomorphy analysis (RASA). I: The statistical measurement of phylogenetic signal". Molecular Biology and Evolution. 13 (6): 749–57. doi:10.1093/oxfordjournals.molbev.a025635. PMID 8754211.
  2. Simmons, MP; Randle, CP; Freudenstein, JV; Wenzel, JW (2002). "Limitations of relative apparent synapomorphy analysis (RASA) for measuring phylogenetic signal". Molecular Biology and Evolution. 19 (1): 14–23. doi:10.1093/oxfordjournals.molbev.a003978. PMID 11752186.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.